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DBMS > Databricks vs. Datomic vs. FileMaker vs. IBM Db2 vs. InterSystems Caché

System Properties Comparison Databricks vs. Datomic vs. FileMaker vs. IBM Db2 vs. InterSystems Caché

Editorial information provided by DB-Engines
NameDatabricks  Xexclude from comparisonDatomic  Xexclude from comparisonFileMaker  Xexclude from comparisonIBM Db2 infoformerly named DB2 or IBM Database 2  Xexclude from comparisonInterSystems Caché  Xexclude from comparison
Caché is a deprecated database engine which is substituted with InterSystems IRIS. It therefore is removed from the DB-Engines Ranking.
DescriptionThe Databricks Lakehouse Platform combines elements of data lakes and data warehouses to provide a unified view onto structured and unstructured data. It is based on Apache Spark.Datomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durabilityFileMaker is a cross-platform RDBMS that includes a GUI frontend.Common in IBM host environments, 2 different versions for host and Windows/LinuxA multi-model DBMS and application server
Primary database modelDocument store
Relational DBMS
Relational DBMSRelational DBMSRelational DBMS infoSince Version 10.5 support for JSON/BSON documents compatible with MongoDBKey-value store
Object oriented DBMS
Relational DBMS
Secondary database modelsDocument store
RDF store infoin Db2 LUW (Linux, Unix, Windows)
Spatial DBMS infowith Db2 Spatial Extender
Document store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score78.61
Rank#15  Overall
#2  Document stores
#10  Relational DBMS
Score1.59
Rank#150  Overall
#69  Relational DBMS
Score48.20
Rank#20  Overall
#14  Relational DBMS
Score128.46
Rank#8  Overall
#5  Relational DBMS
Websitewww.databricks.comwww.datomic.comwww.claris.com/­filemakerwww.ibm.com/­products/­db2www.intersystems.com/­products/­cache
Technical documentationdocs.databricks.comdocs.datomic.comwww.claris.com/­resources/­documentationwww.ibm.com/­docs/­en/­db2docs.intersystems.com
DeveloperDatabricksCognitectClaris infoa subsidiary of AppleIBMInterSystems
Initial release2013201219831983 infohost version1997
Current release1.0.6735, June 202319.4.1, November 202112.1, October 20162018.1.4, May 2020
License infoCommercial or Open Sourcecommercialcommercial infolimited edition freecommercialcommercial infofree version is availablecommercial
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava, ClojureC and C++
Server operating systemshostedAll OS with a Java VMiOS infoclient part only
Linux
OS X
Windows
AIX
HP-UX
Linux
Solaris
Windows
z/OS
AIX
HP Open VMS
HP-UX
Linux
OS X
Solaris
Windows
Data schemeFlexible Schema (defined schema, partial schema, schema free)yesyesyesdepending on used data model
Typing infopredefined data types such as float or dateyesyesyesyes
XML support infoSome form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.yesnoyes infoA http query request can return the data in XML formatyes
Secondary indexesyesyesyesyesyes
SQL infoSupport of SQLwith Databricks SQLnoyes infovia pluginsyesyes
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
RESTful HTTP APIFilemaker WebDirect
JDBC
ODBC
ADO.NET
JDBC
JSON style queries infoMongoDB compatible
ODBC
XQuery
.NET Client API
JDBC
ODBC
RESTful HTTP API
Supported programming languagesPython
R
Scala
Clojure
Java
PHPC
C#
C++
Cobol
Delphi
Fortran
Java
Perl
PHP
Python
Ruby
Visual Basic
C#
C++
Java
Server-side scripts infoStored proceduresuser defined functions and aggregatesyes infoTransaction Functionsyesyesyes
TriggersBy using transaction functionsyesyesyes
Partitioning methods infoMethods for storing different data on different nodesnone infoBut extensive use of caching in the application peersnoneSharding infoonly with Windows/Unix/Linux Versionnone
Replication methods infoMethods for redundantly storing data on multiple nodesyesnone infoBut extensive use of caching in the application peersSource-replica replication, warm standby infosince Version 14yes infowith separate tools (MQ, InfoSphere)Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)yesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes inforecommended only for testing and developmentyes
User concepts infoAccess controlnosimple rights management via user accounts and connection to external directory servicesfine grained access rights according to SQL-standardAccess rights for users, groups and roles
More information provided by the system vendor
DatabricksDatomicFileMakerIBM Db2 infoformerly named DB2 or IBM Database 2InterSystems Caché
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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More resources
DatabricksDatomicFileMakerIBM Db2 infoformerly named DB2 or IBM Database 2InterSystems Caché
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